METHODS AND SYSTEMS THAT IDENTIFY COMPUTATIONAL-ENTITY TRANSACTIONS AND CORRESPONDING LOG/EVENT-MESSAGE TRACES FROM STREAMS AND/OR COLLECTIONS OF LOG/EVENT MESSAGES

    公开(公告)号:US20220066998A1

    公开(公告)日:2022-03-03

    申请号:US17096991

    申请日:2020-11-13

    Applicant: VMWARE, INC.

    Abstract: The current document is directed to methods and systems that automatically identify log/event-message traces and computational-entity transactions within collections and/or streams of log/event messages. Automated identification of log/event-message traces provides the basis for automated interpretation, by automated computer-system administration-and-the management subsystems, of the information represented by collections and/or streams of log/event messages. Disclosed approaches to automatically identifying log/event-message traces and computational-entity involve identifying log/event-message types, generating time-series-like log/event-message-type occurrence signals from log/event-message collections and/or streams, and computing cross correlations between pairs of log/event-message-type occurrence signals. In one implementation, a strongly-correlated-type graph is generated from the computed cross correlations, from which connected-components subgraphs, corresponding to computational-entity transactions, are extracted. Log/event-message traces are then extracted from acyclic graphs generated from the connected-component subgraphs.

Patent Agency Ranking